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Updated: Jul 11, 2026

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues
Published on: May 4, 2022
Targeted analysis of protein termini
Wilma Dormeyer1, Shabaz Mohammed, Bas van Breukelen
1Department of Biomolecular Mass Spectrometry, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Sorbonnelaan 16, 3584 CA Utrecht, the Netherlands.
Researchers developed a new method to identify acetylated protein N- and C-termini, discovering many previously unknown protein termini. This technique advances protein annotation and reveals novel biological insights.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Protein termini (N- and C-termini) are crucial for protein function and regulation.
- Current methods often rely on database annotations, potentially missing novel or unpredicted protein forms.
- In vivo acetylation is a common post-translational modification affecting protein function.
Purpose of the Study:
- To develop and validate a method for targeted analysis of in vivo acetylated protein N- and C-termini.
- To identify previously unannotated protein termini.
- To investigate novel post-translational modifications like N-terminal propionylation.
Main Methods:
- Selective enrichment of in vivo acetylated protein N- and C-termini.
- Mass spectrometry-based identification without chemical derivatization.
- Iterative database search strategy accounting for enrichment protocols.
Main Results:
- Identification of 263 annotated and 87 unpredicted N-acetylated N-termini.
- Identification of 168 annotated and 193 unpredicted C-termini.
- First report of in vivo N-terminal propionylation.
Conclusions:
- The study identified a substantial number of novel protein termini, suggesting extensive unannotated transcription or processing.
- The developed method enhances protein and gene annotation accuracy.
- Findings highlight the importance of exploring beyond routine database searches for comprehensive proteome understanding.
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